Jan 31, 2025
R can import data from various sources:
refugees, rnaturalearth, …Example using a local CSV:
# A tibble: 6 × 5
pcode gis_name loc_type lon lat
<chr> <chr> <chr> <dbl> <dbl>
1 SDNp003704 Khashm El Girba Field Office 35.9 15.0
2 SDNp000540 Damazin Field Office 34.3 11.8
3 SDNp010027 Kosti Sub-Office 32.7 13.1
4 SDNp000545 El Fasher Sub-Office 25.3 13.6
5 SDNp000568 Zalingei Field Office 23.5 12.9
6 SDNp000328 Port Sudan Country Office 37.2 19.6
Example directly calling a file on HDX with rhdx package:
# A tibble: 6 × 24
Year `Country of Origin Code` `Country of Asylum Code` Country of Origin Na…¹
<dbl> <chr> <chr> <chr>
1 2001 SDN AGO Sudan
2 2001 SDN EGY Sudan
3 2001 SDN EGY Sudan
4 2001 SDN AUS Sudan
5 2001 SDN AUS Sudan
6 2001 SDN AUT Sudan
# ℹ abbreviated name: ¹`Country of Origin Name`
# ℹ 20 more variables: `Country of Asylum Name` <chr>, `Population Type` <chr>,
# location <chr>, urbanRural <chr>, accommodationType <chr>,
# `Female 0-4` <dbl>, `Female 5-11` <dbl>, `Female 12-17` <dbl>,
# `Female 18-59` <dbl>, `Female 60 or more` <dbl>, `Female Unknown` <dbl>,
# `Female Total` <dbl>, `Male 0-4` <dbl>, `Male 5-11` <dbl>,
# `Male 12-17` <dbl>, `Male 18-59` <dbl>, `Male 60 or more` <dbl>, …
Example using data in the refugees package:
# A tibble: 6 × 16
year coo_name coo coo_iso coa_name coa coa_iso refugees asylum_seekers
<dbl> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
1 1951 Unknown UKN UNK Australia AUL AUS 180000 0
2 1951 Unknown UKN UNK Austria AUS AUT 282000 0
3 1951 Unknown UKN UNK Belgium BEL BEL 55000 0
4 1951 Unknown UKN UNK Canada CAN CAN 168511 0
5 1951 Unknown UKN UNK Denmark DEN DNK 2000 0
6 1951 Unknown UKN UNK France FRA FRA 290000 0
# ℹ 7 more variables: returned_refugees <dbl>, idps <dbl>, returned_idps <dbl>,
# stateless <dbl>, ooc <dbl>, oip <dbl>, hst <dbl>